Many data centers are aging and organizations still use legacy applications, which drives up operational costs and limits the ability to upgrade software. Download this white paper to find out how Delphix Data as a Service can remove the biggest constraints and bottlenecks of your modernization projects.

Poor data archiving can lead to non-compliance with regulations. This white paper outlines Delphix's Live Archive, which can build a condensed copy of a data source that can be accessed on demand and quickly while also bookmarking data sources to restore any application so one can comply with regulations.

Current test data management solutions are flawed in at least one key dimension. Technologies in the emerging Data as a Service (DaaS) category bring the benefits of virtualization to application data, delivering high-quality test data with both speed and efficiency.

ERP upgrades are necessary, but they too often exceed budget and schedule. Technologies in the emerging Data as a Service (DaaS) category promise to accelerate data delivery and reduce infrastructure requirements. DaaS eliminates time, cost, and risk associated with these business-critical projects.

Cloud deployments are rapidly becoming essential for both small-to-medium-size businesses and large, established organizations. Delphix can help organizations accelerate their cloud migrations and operate more efficiently in cloud environments with increased data security and lower costs.

"Security-conscious organizations face a gap between current
requirements and capabilities as they relate to data masking. Data volumes are growing exponentially and the risk of data leaks continues to make news, yet many organizations rely on inefficient, legacy approaches to protecting sensitive data. In contrast, top performing companies are turning to virtual databases and service-based masking solutions to ensure that data management functions can keep up with software development.

In a world of privacy regulation, intellectual property theft, and cybercrime, only a masking solution can secure vital data and enable outsourcing, third party analysis, and cloud deployments. Delphix delivers rapid deployment of masked data in minutes, service-based masking of production systems, and the ability to ship masked data across sites, to third parties, and into the cloud, with minimal network footprint.

A new generation of tools is bringing agility to components of IT operations . Learn how recent advancements in agile data management, data virtualization, and data masking are combining to help companies achieve previously unachievable breakthroughs in IT security and risk management. Starting with a technical dive into data masking and the key concepts surrounding “virtual data”, this eBook also leverages exhaustive industry research and company surveys to translate the business value associated with these solutions.

Over the past several years data loss and data leaks have been a regular part of headline news. From high-profile hacks of retailers such as Target and Home Depot to inadvertent email data leaks from large multi-national banks to targeted leaks of sensitive government documents, it is becoming clear throughout the private and public sector that data security or the lack thereof is an existential threat to business operations. While there are many vendors focused on data encryption, data masking is actually the single most effective mechanism for an IT organization to dramatically reduce or even eliminate the risk of data loss.

Data security is a top concern these days. In a world of privacy regulation, intellectual property theft, and cybercrime, ensuring data security and protecting sensitive enterprise data is crucial.
Only a data masking solution can secure vital data and enable outsourcing, third-party analysis, and cloud deployments. But more often than not, masking projects fail. Some of the best data masking tools bottleneck processes and once masked, data is hard to move and manage across the application development lifecycle.

High-profile data breaches continue to make headlines as organizations struggle to manage information security in the face of rapidly changing applications, data centers, and the cloud. Against this backdrop, data masking has emerged as one of the most effective ways to protect sensitive test data from insider and outsider threats alike.
While masking is now the de facto standard for protecting non-production data, implementing it alongside virtual data technologies has elevated its effectiveness even further.

Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.

Looking to streamline processes across development, test, and operations teams with more efficient Test Data Management (TDM)? Don't let antiquated technology and complex processes stand in the way of fast access to high-quality test data.
Next-generation TDM transforms how businesses deploy testing environments and the way teams work within them, providing both greater flexibility and increased efficiency.

“In the rush to develop apps faster and deliver more, it’s easier than ever for things to fall through the cracks, like every hasty +1’ed dev/test environment creating a potential security minefield of unmasked sensitive fields.
Without the right dev processes, it’s not just security that suffers. With the typical developer spending around 12-hours a week on tasks like setting up and configuring environments or relying on worthless fake data, productivity and quality often fall victim too.
Download the Developer Confessions chapter to discover the biggest frustrations we hear from developers, how to balance access to data with data security, and proven ways to speed up developer productivity.”